1. 1. Open Access and Data Management
2. 2. Published by Ubiquity Press OPEN ACCESS AND DATA MANAGEMENT
3. 3. Be compliant Policies governing data Be responsible Responsible Conduct of Research Be transparent Support published research Be acknowledged Increase in citations WHY MANAGE YOUR DATA?
4. 4. Creative Womens Circle
5. 5. Transparency Data audited Accountability Innovation Data reuse for new research Curration, preservation & analysis Efficiency Avoid repeating studies & mistakes Impact Visibility & more citations WHY SHARE YOUR DATA?
6. 6. WHAT POLICIES SHOULD YOU BE FOLLOWING? Funder Polices NIH Data Sharing Policy HHMI Policy for the Sharing of Publication-related Materials, Data, and Software NSF Data Management Plan Requirement
7. 7. Publisher Policies PLOS Sharing of Data, Materials, and Software Journal Policies Science: All data necessary to understand the paper must be made available to any reader in an approved public database or as supplemental materials WHAT POLICIES SHOULD YOU BE FOLLOWING?
8. 8. UMass Medical Polices Data and Computing Standards IRB Standard Operating Procedures WHAT POLICIES SHOULD YOU BE FOLLOWING?
9. 9. NIH Genomic Data Sharing Policy Requires funding applications and proposals and Institutional Certification NEW NIH POLICY BEGINNING JANUARY 2015 http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html Applies to all NIH-funded research that generates large-scale human or non- human genomic data, as well as the use of those data for subsequent research.
10. 10. Research data management describes the managing, sharing, and archiving of research data to make it more accessible to the broader research community. Data Management Plans are required for funding and ensure that data will be properly documented and made available.Xpedivent Technologies DATA MANAGEMENT
11. 11. Data Management Plans can help you: Follow policies from funding agencies, institutions & publishers Prepare for use of standard data formats & file naming conventions Understand data attribution & data citation USE DMPS TO HELP ENSURE POLICIES FOR ACCESS AND SHARING
12. 12. Datasets are a significant part of the scholarly record and are being published more and more frequently....They need to be integrated into the scholarly information system so that authors, readers and librarians can use, find and manage them as easily as they do working papers, journal articles and books. Toby Green, Head of Publishing, OECD (2009) Agreeing on a naming convention will help to provide consistency, which will make it easier to find and correctly identify your files, prevent version control problems when working on files collaboratively, and generally prevent errors in research. Organizing your files carefully will save you time and frustration and prevent duplication or errors by helping you and your colleagues find what you need when you need it. DSpace@Cambridge (2008) library.gatech.edu library.gatech.edu
13. 13. Backup, backup, backup Think of what it would take to reproduce your data. To make sure you don't lose it, strive to have three copiesthe original master file, a local backup (e.g., on an external hard drive), and an external backup (e.g., on a networked drive or on a web-based storage service). Organize your data. Plan the directory structure and file naming conventions before creating your data, taking into consideration the potential need to track versions of data sets and documents. Follow any existing project-specific conventions or disciplinary standards or best practices. Document your data. Data documentation, also known as metadata, will help you use and understand your research data into the future. If you plan to share your data it will also help others find, use, and properly cite it. At a minimum, create a readme.txt file that includes basic documentation such as title, creator, identifier, rights/access information, dates, location, methodology, etc. Three Things You Can Do Today to Help Manage Your Data: 1 2 3
14. 14. DATA MANAGEMENT PLAN RESOURCES The Digital Curation Centre (DCC) is a world-leading centre of expertise in digital information curation with a focus on building capacity, capability and skills for research data management across the UK's higher education research community. The Digital Curation Centre provides expert advice and practical help to anyone in UK higher education and research wanting to store, manage, protect and share digital research data.
15. 15. Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. Supported by the U.S. National Science Foundation as one of the initial DataNets, DataONE will ensure the preservation, access, use and reuse of multi- scale, multi-discipline, and multi-national science data via three primary cyberinfrastucture elements and a broad education and outreach program. DATA MANAGEMENT PLAN RESOURCES
16. 16. The DMPTool provides detailed guidance and links to general and institutional resources and walks a researcher through the process of generating a comprehensive plan tailored to specific DMP requirements. Create, review, and share data management plans that meet institutional and funder requirements. DATA MANAGEMENT PLAN RESOURCES
17. 17. MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the data you collect throughout your research. The course is particularly appropriate for those who work with digital data. Through a series of interactive online units you will learn about terminology, key concepts, and best practice in data management. DATA MANAGEMENT PLAN RESOURCES
18. 18. Instructional tool for teaching data management best practices to undergraduates, graduate students, and researchers in the health sciences, sciences, and engineering disciplines. Each module aligns with the National Science Foundations data management plan recommendations and addresses universal data management challenges. NECDMC is designed to address present and future researchers data management learning needs. New England Collaborative Data Management Curriculum This curriculum was coordinated by the UMass Medical School Lamar Soutter Library. http://library.umassmed.edu/necdmc
19. 19. New England Collaborative Data Management Curriculum
20. 20. Get Help With: Designing your study Writing statistical methods sections for funding applications Providing sample size and power calculations Collecting and manage your data Advising you on resources available Analyzing your study Preparing reports and publications The Quantitative Methods Core, within the Division of Biostatistics and Health Sciences Research in the Department of Quantitative Health Sciences, was founded to provide University of Massachusetts Medical School investigators with clinical research support in biostatistics, experimental design, and data management. QUANTITATIVE METHODS CORE
21. 21. HPCC Advanced computation can be conducted using the UMMS High Performance Computing Cluster MICARD UMass Medical's implementation of i2b2, the NCBC's informatics platform for clinical research. Available to qualified investigators R Drives Networked space for file storage, sharing, and building a web presence. Disc space is available to institutional work groups in 100Gb increments REDCap A secure system for designing and managing web-based surveys and databases STATS server IT provides access through licensing agreements to several statistical analysis software packages, such as SPSS and SAS IT manages several research computing service options for the UMMS community IT Research Computing Services
22. 22. doi:10.1371/journal.pbio.1001779.g001
23. 23. UMASS RESOURCES eScholarship@UMMS is a digital repository offering worldwide access to the research and scholarly work of the University of Massachusetts Medical School community. The goal is to bring together the University's scholarly output, in full text whenever possible, in order to enhance its visibility and accessibility. eScholarship@UMMS is a service of the Lamar Soutter Library.
24. 24. Research Computing and Information Services UMASS RESOURCES
25. 25. 1. Transparency in experimental methodology, observation, and collection of data 2. Public availability and reusability of scientific data 3. Public accessibility and transparency of scientific communication 4. Using web-based tools to facilitate scientific collaboration OPEN SCIENCE GOALS
26. 26. Increase your research impact Making your data available to other researchers can impact discovery and relevance of your research. Save time Planning ahead for your data management needs will save you time and resources. Preserve your data Depositing your data in a repository safeguards your investment of time and resources while preserving your research contribution for you and others to use. WHY SHARE YOUR DATA?
27. 27. Maintain data integrity Managing and documenting your data throughout its life cycle allows you and others to understand and use your data. Meet grant requirements Many funding agencies now require that researchers deposit data collected as part of a research project. Promote new discoveries Sharing your data with other researchers can lead to new and unanticipated discoveries and provide research material for those with little or no funding. Support open access Be a catalyst for research and discovery. Show your support for open access by sharing your data.
28. 28. Open Data Collections plos.org
29. 29. Digital repository offering access to research and scholarly work of the UMMS community. The goal is to enhance visibility and accessibility. http://escholarship.umassmed.edu
30. 30. The Zebrafish Model Organism Database used to be the community database resource and facilitate the use of zebrafish as a model for humans. http://zfin.org
31. 31. Project at the University of Pittsburgh to advance the availability and use of public health data for science and policy making. https://www.tycho.pitt.edu
32. 32. Curated general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. http://datadryad.org
33. 33. "Good data management is fundamental for high quality research data and research excellence. Data management covers all aspects of handling, organizing, documenting and enhancing research data. It is particularly important for facilitating data sharing, ensuring the sustainability and accessibility of data in the long-term, and allowing data to be re-used for future science." From the UK Data Archive Resource Getting Started http://www.data-archive.ac.uk/create-manage/planning-for-sharing/getting-started